About this Abstract |
Meeting |
1st World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Symposium
|
First World Congress on Artificial Intelligence in Materials and Manufacturing (AIM 2022)
|
Presentation Title |
Autonomous Corrosion Resistant Coatings Development Using a Scanning Droplet Cell |
Author(s) |
Howard Joress, Jason Hattrick-Simpers, Najlaa Hassan, Trevor Braun, Justin Gorham, Brian DeCost |
On-Site Speaker (Planned) |
Howard Joress |
Abstract Scope |
Electrochemical deposition of alloy coatings is a difficult process to study and optimize, having a large parameter space including electrolyte chemistry, fluid flow, and electronic parameters.This makes autonomous materials science ideal for development of new alloys and increased understanding of electrochemical deposition. To this end, we have developed a fully automated, millifluidic scanning droplet cell (SDC) system capable of both synthesis via electrodeposition and characterization via electrochemical corrosion, macroscopic imaging, and roughness measurements. Because the tool is flexible and highly automated it is readily compatible with active machine learning, creating an autonomous materials design platform. We demonstrated use of this tool as an autonomous corrosion analysis tool on prefabricated libraries as well as for close-loop electrodeposition and characterization campaigns. We will discuss the various components of the autonomous research cycle using the SDC including synthesis, automating corrosion measurements and analysis, and utilizing machine learning to control the instrument. |
Proceedings Inclusion? |
Undecided |